Radiative opacity plays an important role in investigating radiative transfer, radiation hydrodynamics and other relative disciplines. In practical applications, these data are mainly obtained by theoretical calculations. The accuracy of the theories is checked by limited experiments. Within the theoretical framework of detailed level accounting model, systematic theoretical investigations of the radiative opacity of plasmas such as aluminum, iron, and gold plasmas are conducted. A database of spectrally resolved radiative opacities and Rosseland and Planck mean opacities is established for densities ranging from 0.001 to 0.1 g/cm³ and temperatures from 1 to 300 eV. A data base is built based on these theoretical opacities. A huge number of quantum states are involved in the calculation of opacity, especially for high-Z gold plasmas. This poses a great challenge for obtaining accurate opacity of gold plasma. For such high-Z plasmas, it is necessary to develop other codes such as unresolved transition arrays or even average atom models to quickly obtain the opacity. Accurate opacity data are very lacking for such high-Z plasmas and the data presented in this library provides important references for other less detailed opacity codes.

For aluminum and iron plasmas, their opacities are compared with those from the code ATOMIC. It is found that they are in good agreement for most cases of plasma conditions. Yet, discrepancies are still found in a few cases of plasma densities and temperatures, as indicated in the figures shown in the text. At photon energy of approximately 850 eV, however, some strong lines of aluminum plasma are notably absent in Al plasma generated by other codes, which will affect the radiative transfer in the X-ray region. In our code, we avoid such problems by including all possible line absorption and photoionization channels. The present dataset should be helpful in studying inertial confinement fusion, plasma physics and astrophysics. All the data presented in this paper are openly available at https://doi.org/10.57760/sciencedb.22232.